The prediction of our ANN for the \(\Lambda \)  separation energy of the ground state of \(^3_\Lambda \) H is shown in the left panel of
Fig. REF  as a function of the HO spacing \(\hbar \omega \)  for several values of the model space size \(N_{max}\)  and, in the right panel, as a function of \(N_{max}\)  for \(\hbar \omega =10\)  MeV. As we said at the beginning of this section, we consider as the prediction of our ANN the average value of the results obtained in 25 independent runs of the network, and the standard deviation of these results
as its associated error, which is also shown in the figure (note that the size of the error bars is in general smaller than that of the symbol). The experimental value and its error (\(B_\Lambda ^{exp}\)\((^3_\Lambda \) H\()=0.13\pm 0.05\)  MeV [1]}, [2]}) are shown in both panels of the figure by the dashed line and the colored band, respectively. The open circles in the right panel of the figure show some selected NCSM results of Refs. [3]}, [4]} used during the training process of the ANN. We note that the values of the HO spacing and the model space size included in the input dataset are in the ranges \(\hbar \omega =10-40\)  MeV and \(N_{max}=14-70\) , respectively. The left panel shows the convergence of \(B_\Lambda \)  with both basis space parameters, \(\hbar \omega \)  and \(N_{max}\) . Note that this convergence is very slow mainly due to the extremely weak binding energy of the \(^3_\Lambda \) H (\(E_{exp}\)\((^3_\Lambda \) H\()=-2.35\pm 0.01\)  MeV). As it is also seen, the dependence of \(B_\Lambda \)  with \(\hbar \omega \)  reduces considerably with the increase of \(N_{max}\) , and it eventually vanishes for \(N_{max} > 100\) . This was already pointed out by Negoita et al. in their ANN study of \(^6\) Li [5]}, [6]}. In the right panel it can be seen that our ANN does not only give a good prediction of \(B_\Lambda \) 
in the region of values of \(N_{max}\)  used in the NCSM calculations of Refs. [3]}, [4]}, but it also extrapolates reasonably well to large values of the model space size. In particular, for \(N_{max}=100\)  our ANN predicts \(B_\Lambda (^3_\Lambda \) H\()=0.16 \pm 0.01\)  MeV, a value compatible with the experimental error.
